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Data Analytics Senior Manager – Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability. Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards. Directs, organizes, and leads DA workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels. Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements. Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: Data governance Data preparation (sourcing, acquisition, integration) Data warehousing Reporting, analytics, data exploration Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) A university degree in computer science, economics, operations, management, or a related field is required A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred. Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Data Analytics Senior Manager – Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The Data Analytics team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability. Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards. Directs, organizes, and leads Data Ananlytics workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels. Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements. Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: Data governance Data preparation (sourcing, acquisition, integration) Data warehousing Reporting, analytics, data exploration Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) A university degree in computer science, economics, operations, management, or a related field is required A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred. Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Job title: DataStage Data Engineer Location: London (Hybrid) Day Rate: £514.00 per day Contract Length: 12 Months IR35 Status: Inside IR35 Public Sector Overview An exciting opportunity is available for an experienced DataStage Data Engineer to join a high-profile programme delivering complex data integration and migration solutions within a large-scale enterprise environment. The successful candidate will play a key role in designing, developing, and supporting robust data pipelines, ETL processes, and data warehouse solutions using a range of AWS and enterprise data technologies. This role requires a strong technical background in data engineering, ETL development, cloud-based data platforms, and DevSecOps practices. You will work closely with architects, developers, business stakeholders, and delivery teams to ensure the successful movement, transformation, and management of critical business data. Key Responsibilities * Design, develop, and maintain scalable ETL and data migration solutions using IBM DataStage. * Build and optimise batch and real-time data integration pipelines to support business and operational requirements. * Develop and enhance data warehouse solutions, ensuring high performance, resilience, and scalability. * Design and implement data solutions using AWS services, including Amazon Redshift, Amazon S3, and Amazon QuickSight. * Collaborate with cross-functional teams to analyse data requirements and translate them into technical solutions. * Support the adoption of DevSecOps principles, ensuring secure and automated deployment practices. * Develop and maintain high-quality code using Java and SQL. * Design, query, and optimise relational database structures and data models. * Implement source control, version management, and CI/CD processes using GitHub and/or GitLab. * Troubleshoot and resolve data-related issues, ensuring data integrity and platform stability. * Contribute to technical design reviews, code reviews, and best practice initiatives across the engineering team. Essential Skills & Experience * Strong commercial experience with IBM DataStage. * Proven expertise in data migration and ETL development, including both batch and real-time processing. * Experience designing and supporting enterprise data warehouse solutions. * Hands-on experience with: o Amazon Redshift o Amazon S3 o Amazon QuickSight * Strong understanding of DevSecOps methodologies and modern software delivery practices. * Proficiency in Java development. * Advanced SQL skills. * Experience working with relational databases. * Hands-on experience with GitHub and/or GitLab. * Strong analytical, problem-solving, and stakeholder engagement skills. * Ability to work effectively within Agile delivery environments. Desirable Skills * Experience implementing and monitoring data quality frameworks. * Knowledge of XML technologies and data formats. * AWS Certified Data Analytics or AWS Data Specialty Certification. * Experience working within large-scale cloud migration or transformation programmes. Candidate Profile The ideal candidate will be a proactive and technically strong Data Engineer with a proven track record of delivering enterprise-scale data solutions. They will possess excellent communication skills, a collaborative approach to problem solving, and the ability to operate effectively within fast-paced, complex environments. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Job title: Data & AI Product Owner Contract Length: 1 year Location: London (hybrid) IR35: Inside Sector: Oil & Gas / Energy Role Summary We are seeking an experienced Data & AI Product Owner with a strong consulting mindset to lead the vision, strategy, and delivery of AI-powered data products and enterprise data platform capabilities. The ideal candidate will bridge business and technology, identify high-value AI opportunities, define product roadmaps, and drive adoption of Data & AI solutions that create measurable business outcomes. This role requires deep experience in Product Management, AI/GenAI, Data Analytics, Data Platforms, Stakeholder Engagement, and Digital Transformation. The candidate should be capable of advising senior business leaders on how AI can transform processes, improve productivity, reduce costs, and unlock new business value. Key Responsibilities * Define and own the product vision, strategy, roadmap, and value realization for Data & AI products. * Partner with business stakeholders to identify and prioritize AI, GenAI, Analytics, and Automation opportunities. * Act as a trusted advisor, helping business teams translate challenges into scalable AI-driven solutions. * Drive product discovery, business case development, value estimation, and prioritization. * Lead AI use cases involving Copilot, AI Agents, RAG, Knowledge Assistants, Intelligent Automation, Predictive Analytics, and GenAI solutions. * Collaborate with Data Engineers, AI Engineers, Architects, and Business teams to deliver products aligned with business objectives. * Own product backlog, user stories, acceptance criteria, and product releases. * Define and track KPIs, adoption metrics, business outcomes, and ROI. * Drive AI adoption, change management, and stakeholder engagement across the organization. * Ensure Responsible AI, Data Governance, Security, and Compliance principles are embedded within product design. Required Skills & Qualifications * 10+ years of experience in Product Management, Consulting, Data Analytics, or Digital Transformation. * Strong experience as a Data Product Owner, AI Product Owner, Product Manager, or Management Consultant. * Deep understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and Enterprise Data Platforms. * Experience with AI ecosystems including: Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI Agents and Knowledge Assistants * Strong knowledge of Data Lakehouse, Data Warehouse, Analytics, and modern cloud data platforms. * Ability to create product strategies, business cases, investment proposals, and executive-level presentations. * Excellent stakeholder management, facilitation, consulting, and communication skills. * Strong understanding of Agile, Scrum, Product Management, and Value Delivery frameworks. Preferred Qualifications * Experience in Commodity Trading, Supply Chain, Energy, Manufacturing, or Large Enterprise Data Programs. * Experience leading AI transformation and AI adoption initiatives. * Exposure to Prompt Engineering, AI Governance, and Responsible AI practices. * MBA or equivalent consulting experience is preferred. Success Measures * Increased adoption of AI and GenAI solutions across business functions. * Measurable productivity gains and business value delivered through AI. * Strong product adoption, customer satisfaction, and stakeholder engagement. * Accelerated delivery of Data & AI products and innovation initiatives. * Clear realization of business outcomes, ROI, and operational efficiencies. Ideal profile: A hybrid of Product Owner + Management Consultant + AI Strategist who can engage executives, identify business opportunities, shape AI strategy, define use cases, and drive delivery of enterprise-scale Data & AI products from concept to value realization. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Business Data Analyst Must have an Active DV Clearance Business Data Analyst Responsibilities - Manage monthly Service Charge and Project Delivery invoicing. - Extract, validate and reconcile billing data from ITSM platforms and operational systems. - Maintain billing models, calculation methodologies and supporting audit evidence. - Investigate billing discrepancies, financial variances and invoice adjustments. - Produce service performance reports, dashboards and management information. - Analyse incidents, problems, changes, assets, configuration items and SLA performance. - Develop reporting solutions using Excel, ITSM platforms and data visualisation tools. - Maintain KPI definitions, reporting calculations and data quality controls. - Work with finance teams, Service Tower Leads and technical stakeholders to resolve queries. - Support financial audits, service reviews and contractual governance. - Improve billing, reconciliation and reporting processes through automation and standardisation. Business Data Analyst Skills and Experience - Proven experience in financial accounting, invoicing or billing. - Experience managing complex fixed and variable billing models. - Strong ITSM data analysis and operational reporting experience. - Practical experience with ServiceNow, BMC Remedy or equivalent ITSM platforms. - Advanced Microsoft Excel skills, including complex formulas, lookups, pivot tables and reconciliation. - Experience extracting, validating and reconciling data from multiple systems. - Strong understanding of financial controls, contractual charging rules and audit requirements. - Experience producing KPI reports, dashboards and service performance analysis. - Excellent analytical, organisational and stakeholder communication skills. - Ability to manage deadlines, investigate discrepancies and maintain accurate documentation. - SQL, Power BI, Power Query or automation experience would be advantageous. - AAT, CIMA, ACCA or ITIL 4 qualifications would be desirable. - Experience with SAP, Oracle Financials or managed-service contracts would be beneficial. To apply, please send your CV by pressing the apply button. Due to high volume of applications, only shortlisted CVs will be contacted. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 18 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Job title: Data & AI Product Owner Contract Length: 1 year Location: London (hybrid) IR35: Inside Sector: Oil & Gas / Energy Role Summary We are seeking an experienced Data & AI Product Owner with a strong consulting mindset to lead the vision, strategy, and delivery of AI-powered products and enterprise data platform capabilities. This role will sit at the intersection of business, data, and technology, helping stakeholders identify high-value opportunities, define product strategies, and deliver Data & AI solutions that generate measurable business outcomes. The successful candidate will be responsible for driving product direction while acting as a trusted advisor to senior business leaders on AI, analytics, data strategy, and digital transformation. A key requirement for this position is strong hands-on experience delivering enterprise data platforms, particularly within Databricks environments. The successful candidate must possess practical knowledge of modern data platform concepts and be able to confidently discuss and lead delivery across areas such as data ingestion, Change Data Capture (CDC), Medallion Architecture, data pipelines, data governance, and Lakehouse design. This is not purely a strategic Product Owner role; candidates must have a proven track record of delivering data platform initiatives and working closely with Data Engineers, Architects, and AI teams to drive successful outcomes. Key Responsibilities * Define and own the vision, strategy, roadmap, and value realization plan for Data & AI products. * Partner with business stakeholders to identify and prioritise opportunities across AI, GenAI, Data Analytics, Automation, and Data Platform initiatives. * Act as a trusted advisor, translating business challenges into scalable data and AI-driven solutions. * Lead product discovery activities, business case development, value estimation, and prioritisation. * Define and manage product roadmaps, backlogs, user stories, acceptance criteria, and release plans. * Drive delivery of AI use cases involving: o Microsoft Copilot o AI Agents o RAG (Retrieval-Augmented Generation) o Knowledge Assistants o Intelligent Automation o Predictive Analytics o Generative AI Solutions * Collaborate closely with Product Managers, Data Engineers, AI Engineers, Architects, and Delivery teams. * Lead stakeholder engagement activities and influence strategic decision-making at senior leadership level. * Ensure Data Governance, Security, Compliance, and Responsible AI principles are embedded throughout the product lifecycle. * Define, monitor, and report on KPIs, business outcomes, adoption metrics, and ROI. * Drive organisational adoption of Data & AI capabilities through effective change management and stakeholder engagement. Essential Skills & Experience * Extensive experience working as a Data Product Owner, AI Product Owner, Product Manager, Product Lead, or Management Consultant. * Strong background delivering enterprise Data & AI programmes and digital transformation initiatives. * Proven experience translating business requirements into data and AI product strategies. * Deep understanding of: o Generative AI o Agentic AI o Machine Learning o Data Analytics o Enterprise Data Platforms * Experience with AI ecosystems including: o Microsoft Copilot o Azure AI Foundry o GitHub Copilot o Claude o Databricks Mosaic AI o MLflow o AI Agents o Knowledge Assistants * Strong practical experience with modern cloud data platforms and Lakehouse architectures. Databricks & Data Platform Expertise (Essential) Candidates must have demonstrable hands-on experience delivering enterprise-scale data platforms using Databricks and related technologies. They should be able to clearly articulate and provide practical examples of: * Data ingestion frameworks and patterns. * Change Data Capture (CDC) methodologies. * Medallion Architecture (Bronze, Silver, Gold). * Data Lakehouse architecture and platform design. * Batch and real-time data processing. * Data modelling and transformation strategies. * Data quality, governance, lineage, and observability. * Enterprise-scale data platform delivery and optimisation. The successful candidate must be capable of engaging credibly with engineering and architecture teams, challenging technical decisions where appropriate, and ensuring platform delivery aligns with business objectives. Preferred Experience * Experience within large enterprise environments. * Experience delivering Data & AI products within energy, commodities trading, manufacturing, supply chain, financial services, or similarly complex sectors. * Previous experience leading AI transformation and AI adoption programmes. * Exposure to Prompt Engineering, AI Governance, and Responsible AI frameworks. * Consulting, advisory, or strategy delivery experience. * MBA or equivalent commercial and consulting experience. Key Competencies * Product Strategy & Roadmap Development * Data Platform Delivery * Databricks & Lakehouse Technologies * AI & Generative AI Solutions * Stakeholder Management * Business Case Development * Value Realisation & ROI Measurement * Digital Transformation * Agile Product Delivery * Executive Communication & Influencing Success Measures * Increased adoption of Data & AI capabilities across the organisation. * Delivery of scalable, high-performing enterprise data platform solutions. * Successful implementation and adoption of AI and GenAI products. * Demonstrable business value, productivity gains, and operational efficiencies. * Strong stakeholder engagement and user satisfaction. * Delivery of strategic Data & AI initiatives aligned to business priorities. Ideal Profile A hybrid Product Owner, Data Platform Specialist, Management Consultant, and AI Strategist who combines strong commercial and stakeholder management skills with practical experience delivering modern data platforms. The ideal candidate will be equally comfortable presenting to executive stakeholders, shaping product strategy, defining AI use cases, and discussing technical concepts such as Databricks, data ingestion, CDC, Medallion Architecture, Lakehouse platforms, and enterprise data engineering delivery. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Oracle Data Migration Lead - Remote Working with occasional travel - Coordinate multiple delivery teams, business SMEs and stakeholders to ensure successful migration outcomes. Oracle Data Migration Lead Responsibilities - Lead and manage the end-to-end data migration workstream. - Develop and maintain migration plans, schedules, milestones and delivery activities. - Manage RAID logs, dependencies, governance and workstream reporting. - Coordinate data migration activities across internal teams, customers and third-party suppliers. - Provide guidance on data migration processes, approaches and technical considerations. - Support the investigation and resolution of data extraction and loading issues. - Identify migration risks, issues and dependencies, ensuring timely escalation and resolution. - Monitor workstream progress and provide regular updates to senior stakeholders. - Work closely with business SMEs to understand data requirements and resolve migration challenges. - Act as the primary customer escalation contact for data migration matters. - Maintain clear communication between technical teams, business stakeholders and project leadership. - Ensure migration activities align with agreed project plans and governance requirements. Oracle Data Migration Lead Skills and Experience - Proven experience leading or managing data migration workstreams. - Strong knowledge of data migration processes, including data extraction and loading. - Knowledge of Oracle eBusiness Suite (eBS) or Oracle Fusion. - Experience coordinating migration activities across multiple teams and stakeholders. - Strong project planning, governance and delivery management skills. - Experience managing RAID logs, dependencies, risks and issues. - Ability to investigate and coordinate the resolution of data migration challenges. - Strong stakeholder management and customer-facing communication skills. - Experience acting as a primary escalation point for technical or delivery issues. - Excellent verbal and written communication skills. - Strong organisational, analytical and problem-solving capabilities. - Ability to manage competing priorities and maintain accurate workstream reporting. To apply, please send your CV by pressing the apply button. Due to high volume of applications, only shortlisted CVs will be contacted. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Data Analyst - Holborn London Our Client is looking to recruit a Data Analyst with at least 5 years proven experience. As a Data Analyst you will ensure that all data is processed and quality assured so that it can be analysed through appropriate systems with a view to the production of reports that can assist the Client services and other stakeholders make effective decisions and support the assessment of indicators and other business intelligence processes.. Key responsibilities: Day to day implementation and overview of the business's data strategy to ensure that organisational data is systematised with a view to optimising business intelligence and decision-making. Clear knowledge of all the data sources within the organisation, including the CRM and other information systems, and ability to work on those sources either individually, together or identify new sources that can inform effective operation. Knowledge of all relevant procedures to ensure that optimal data is used, including the cleaning, analysis and processing of data. Putting in place effective and robust systems of quality to ensure the highest integrity of data. Working with the IT department on data analysis, including developing key formulas, working with APIs and data mining, particularly through appropriate relational and other data bases, with a view to extracting the information that is needed for the growth of the organisation. Enabling the effective and accurate production of all reports, visuals, dashboards and other outputs to allow different parts of the organisation to make better individual and collective decisions. Facilitating the transformation of data to information and knowledge, and helping the different parts of the organisation to share such information and knowledge so as to maximise collaboration and the aims of the organisation. Supporting business intelligence so that the decisions are underpinned by key, effective and relevant data. Enabling the organisation to measure key performance and other indicators and score carding, and contributing to the development of metric and indicator-based systems that allow for integration and a system of continuous improvement. Collaborating with all departments including the IT department, education and training, marketing and policy and research on data usage. Minimising all data risks, security breaches, financial and other risks and working with relevant services to ensure that data is handled in a way that is compliant with relevant legislation and other frameworks. Furthering a data culture that enables the organisation to meet the needs of its stakeholders, both nationally and internationally, including its members. The following skills are Essential: Relevant higher education qualification in data analysis, including programming languages such as Python and SQL. Substantial experience working in data analysis within an organisational setting. Excellent problem solving, analytical and business intelligence skills, especially working with large datasets. Excellent written and verbal communication skills in the English language. Ability to manage multiple projects adhering to logistics, timescales and deadlines. IT literate and experience of using MS Dynamics and Office (including Word, Excel and Outlook). Experience of using visualisation tools such as PowerBI. The Client is based in Holborn London. The salary for this role will be in the range £40K - £45K. Do send your CV to us in Word format and include your salary availability.